{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Python continued / matplotlib\n",
"## 09/07/2022\n",
"\n",
"print view
\n",
"notebook"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Conditionals and Control Flow\n",
"## if statements\n",
"\n",
" * An `if` statement conditionally executes a block of code\n",
" * The condition is some Boolean value\n",
" * A block of code is delineated by consistent indentation.\n",
" * Blank lines and comments will not end a block\n",
" * *Whitespace is significant - do not mix tabs and spaces*\n",
" * In an `if..elif..else` statement, only one block of code will be executed \n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n"
]
}
],
"source": [
"if False:\n",
" print(1)\n",
"elif True:\n",
" print(2)\n",
"else:\n",
" print(3)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"val = 0\n",
"if val >= 0:\n",
" val += 1\n",
"elif val < 1:\n",
" val += 2\n",
"elif True:\n",
" val += 3\n",
"else:\n",
" val += 5\n",
" \n",
" val += 7"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# pass\n",
"\n",
"`pass` does nothing"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"if True:\n",
" pass\n",
"else:\n",
" print(\"I will never print\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Logical Operators\n",
"\n",
"\n",
" * `and`, `or`, and `not`\n",
" * `not` has higher precedence than `and` which has higher precedence than `or`\n",
" * all three have lower precedence than comparison operators\n",
" * but use parentheses to avoid confusion"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
"\n",
"\n",
""
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"x = 3; y = 4; z = 5\n",
"val = x != 3 or not y < 0 and z < 10 or not y == 0 and z < 0"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Membership testing\n",
"\n",
"in and not in can be used to see if an object is in a collection"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"l = [1,2,3]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1 in l"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"345 in l"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"1\" not in l"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"good\" in \"goodness\""
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"val = 'cat' in 'catalog'"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"val = 'cat' in ['catalog','catastrophe']"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Loops"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n"
]
}
],
"source": [
"i = 0\n",
"while i < 3: #as long as this condition is true...\n",
" print(i) #...execute this block of code\n",
" i += 1 "
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a\n",
"b\n",
"c\n",
"d\n",
"e\n",
"f\n",
"g\n"
]
}
],
"source": [
"letters = ['a','b','c','d','e','f','g']\n",
"for i in letters: #for every item in this collection...\n",
" print(i) #...execute this block of code with i set to the object"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# range\n",
"\n",
"The preferred method of looping is to use a for loop. There are a number of builtin functions to help create collections to iterate over."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0, 1, 2]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(range(3))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 3, 4, 5, 6, 7, 8, 9]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(range(1,10))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 4, 7]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(range(1,10,3))"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"val = 0\n",
"for i in range(100):\n",
" val += i"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Iterable\n",
"\n",
"for will loop over any _iterable_ object\n",
"\n",
"In addition to collections, this includes any object that can provide items one at a time\n",
" * Most importantly files"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"6258"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f = open(\"../files/brca1.fasta\")\n",
"cnt = 0\n",
"for line in f.readlines():\n",
" cnt += len(line)\n",
"cnt"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"6258"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f = open(\"../files/brca1.fasta\")\n",
"cnt = 0\n",
"for line in f: \n",
" cnt += len(line)\n",
"cnt"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# break and continue\n",
"\n",
"break will exit out of the entire loop while continue will skip to the next iteration"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"6\n"
]
}
],
"source": [
"i = 0\n",
"while True:\n",
" i += 1\n",
" if i < 6:\n",
" continue\n",
" print(i)\n",
" if i > 4:\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"x = 0\n",
"while x < 100:\n",
" if x < 50:\n",
" pass\n",
" elif x == 5:\n",
" break\n",
" x += 1"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Slicing\n",
"\n",
"What if you don't want to iterate over the full list?"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'He'"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s = \"Hello\"\n",
"s[0:2]"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'llo'"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s[2:] # empty indices indicate remainder of string/list"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Hel'"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s[:-2] #negative indices count from the back"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Hello, wor'"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s2 = \"Hello, world\"\n",
"s2[:-2]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"l = [\"cat\",\"dog\",\"fish\",\"mouse\"]\n",
"val = len(l[2:3])"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# matplotlib\n",
"## make easy things easy and hard things possible"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"# next is a python notebook command to embed plot output in the notebook\n",
"%matplotlib inline "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"plt has hundreds of functions for creating and manipulating plots\n",
"\n",
"plt.plot creates line/point graphs\n",
" * you can specify an arbitrary number of x,y,format arguments"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot([0,1,2,3],[0,1,2,3],\"-b\",[0,1,2,3],[0,1,4,9],\"--r\")\n",
"plt.ylabel(\"Y\")\n",
"plt.xlabel(\"X\")\n",
"plt.show() #not actually necessary in notebook"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# matplotlib is _stateful_\n"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot([1,2,4,9,16],label=\"one\") #if only one data set is provide, assume uniform x\n",
"plt.plot([0.5,1,2,4.5,8],'^-.',label=\"two\") #keep adding to current graph until show is called\n",
"plt.legend() #uses labels\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"plt.show() # this doesn't show anything since we haven't created another plot\n",
"plt.close() #another way to finish with a plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you use the %matplotlib command in ipython, the plot will be updated with every command (can skip show)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Format codes\n",
"```\n",
"marker\tdescription\n",
"”.”\tpoint\n",
"”,”\tpixel\n",
"“o”\tcircle\n",
"“v”\ttriangle_down\n",
"“^”\ttriangle_up\n",
"“<”\ttriangle_left\n",
"“>”\ttriangle_right\n",
"“1”\ttri_down\n",
"“2”\ttri_up\n",
"“3”\ttri_left\n",
"“4”\ttri_right\n",
"“8”\toctagon\n",
"“s”\tsquare\n",
"“p”\tpentagon\n",
"“*”\tstar\n",
"“h”\thexagon1\n",
"“H”\thexagon2\n",
"“+”\tplus\n",
"“x”\tx\n",
"“D”\tdiamond\n",
"“d”\tthin_diamond\n",
"“|”\tvline\n",
"“_”\thline\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Colors\n",
"\n",
"```\n",
" 'b' blue\n",
" 'g' green\n",
" 'r' red\n",
" 'c' cyan\n",
" 'm' magenta\n",
" 'y' yellow\n",
" 'k' black\n",
" 'w' white\n",
"```\n",
"Can also specify colors with full names or hexadecimal"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot([1,2,4,6,7,4,2,2],'orange',linewidth=6)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Plotting expression data"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4381"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f = open('../files/Spellman.txt')\n",
"header = f.readline().rstrip().split(',')#rstrip removes newline\n",
"data = []\n",
"for line in f:\n",
" data.append(line.rstrip().split(','))\n",
"len(data)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for row in data[:10]: #first 10 only\n",
" values = list(map(float, row[1:]))\n",
" times = list(map(int, header[1:]))\n",
" plt.plot(times,values,label=row[0])\n",
"plt.legend(loc='upper center',ncol=5,prop={'size':7})\n",
"plt.xlabel(\"Time\");"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Data conversion..."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"for i in range(1,len(header)):\n",
" header[i] = int(header[i])\n",
" for r in range(len(data)):\n",
" data[r][i] = float(data[r][i])"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Bar charts"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.bar([1.1,2.1,3.1],[30,40,50],0.5,yerr=[2,10,12],ecolor=\"black\",alpha=0.5,label=\"One\")\n",
"plt.bar([1.4,2.4,3.4],[60,50,20],0.5,color='r',yerr=[10,4,1],ecolor=\"black\",alpha=0.5,label=\"Two\")\n",
"plt.xticks([1.4,2.4,3.4], ['A','B','C'])\n",
"plt.ylim([0,100])\n",
"plt.legend();"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Histograms"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import random\n",
"rdata = []\n",
"for i in range(1000):\n",
" rdata.append(random.normalvariate(0,1))\n",
" \n",
"plt.hist(rdata,10);"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Combining chart types\n",
"\n",
"Just accumulate plots"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.hist(rdata,10)\n",
"plt.plot([-3,-1,0,1,2,3],[20,30,50,60,80,90],'-r',linewidth=3)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Terminology\n",
"\n",
"### Figure\n",
"\n",
"The full canvas you are creating your plot(s) on.\n",
"\n",
"### Axes\n",
"\n",
"A single plot\n",
"\n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Multiple Plots on a Figure\n",
"\n",
"[subplots(nrows,ncols)](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots.html)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2,1)\n",
"plt.sca(axes[0]) #set current axis to first\n",
"plt.plot(header[1:],data[0][1:])\n",
"plt.ylabel(data[0][0])\n",
"\n",
"plt.sca(axes[1])\n",
"plt.plot(header[1:],data[1][1:],'g')\n",
"plt.ylabel(data[1][0])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"See also GridSpec"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Multiple Plots on a Figure"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"numgenes = 3\n",
"fig, axes = plt.subplots(numgenes,1,sharex=True,sharey=True)\n",
"colors = ['b','g','purple']\n",
"for i in range(numgenes):\n",
" #most plot methods have equivalents on axes objects\n",
" axes[i].plot(header[1:],data[i][1:],color=colors[i])\n",
" axes[i].set_ylabel(data[i][0])"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Exporting charts\n",
"\n",
"Instead of plt.show use plt.savefig\n",
"\n",
"`bbox_inches='tight'` tells matplotlib to try harder to fit everything nicely."
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.axes(aspect=1)\n",
"plt.pie([8,2,1],labels=[\"Novice\",\"Beginner\",\"Proficient\"])\n",
"plt.savefig(\"pie.png\",bbox_inches='tight')"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"pie.png\n"
]
}
],
"source": [
"ls *png"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Other formats: pdf, svg, eps..."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Other chart types\n",
"\n",
"Gallery"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Seaborn\n",
"\n",
"Making (some) hard things easy\n",
"\n",
"[Gallery](https://seaborn.pydata.org/examples/index.html)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Project\n",
"\n",
"https://MSCBIO2025.github.io/files/Spellman.csv\n",
"\n",
"* plot a gene\n",
"* plot the histogram of initial expression levels\n",
"* plot the histogram of final expression levels\n",
"* plot the above histograms on the same plot with transparent fill\n",
"* plot the above with identical bin sizes for both histograms\n",
"* plot the above histograms on different subplots, vertically stacked"
]
}
],
"metadata": {
"celltoolbar": "Slideshow",
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}