Basic and intermediate matplotlib.pyplot functions
import matplotlib.pyplot as plt|
Line graph
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plt.plot()
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(x_data, y_data)
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Scatter plot
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plt.scatter()
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(x_data, y_data)
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Bar chart
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plt.bar()
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(x_locs, bar_heights, width = int)
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Histogram
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plt.hist()
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(data, bins = int)
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Pie chart
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plt.pie()
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(data, labels = list)
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color ="color"
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Change plot color
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marker = "symbol"
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Change marker for line or scatter plot (".", "x", "|", "o")
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markersize = int
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Change marker size
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linewidth = int
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Change line width for line graph
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cmap = colormap
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Color plot according to a colormap
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plt.clf()
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Clear figure
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plt.savefig("filename")
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Save figure (call before plt.show())
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plt.show()
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Show figure
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plt.xlim(xmin, xmax)
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Set the limits for the x axis
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plt.ylim(ymin, ymax)
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Set the limits for the y axis
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plt.xscale("scale type")
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Set scale for the x axis (ex. "log")
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plt.yscale("scale type")
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Set scale for the y axis (ex. "log")
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plt.twinx()
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Add a second y axis
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plt.axis("off")
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Do not show the axes
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plt.gca().invert_ xaxis()
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Invert the x axis
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plt.gca().invert_ yaxis()
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Invert the y axis
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plt.title("title")
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Add a title
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plt.xlabel("x axis label")
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Add a label to the x axis
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plt.ylabel("y axis label")
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Add a label to the y axis
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plt.legend(loc = int)
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Add a legend
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plt.xticks(range(min, max, interval)
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Modify the x axis tick marks
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plt.plot(x_data1, y_data1)
plt.plot(x_data2, y_data2)
plt.plot(x_data3, y_data3)
plt.show()# Choose a colormap and assign to a variable
cm = plt.cm.get_cmap("RdYlBu")
# Set the color map in a plot
plt.scatter(x_data, y_data, cmap=cm)Great job! I'm just learning Python. Your cheat sheet is useful to me.
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