Importing the libraryimport matplotlib.pyplot as plt |
Plots and key argumentsLine graph | plt.plot() | (x_data, y_data) | Scatter plot | plt.scatter() | (x_data, y_data) | Bar chart | plt.bar() | (x_locs, bar_heights, width = int) | Histogram | plt.hist() | (data, bins = int) | Pie chart | plt.pie() | (data, labels = list) |
Optional argumentscolor ="color" | Change plot color | marker = "symbol" | Change marker for line or scatter plot (".", "x", "|", "o") | markersize = int | Change marker size | linewidth = int | Change line width for line graph | cmap = colormap | Color plot according to a colormap |
| | Key functionsplt.clf() | Clear figure | plt.savefig("filename") | Save figure (call before plt.show()) | plt.show() | Show figure |
Axis functionsplt.xlim(xmin, xmax) | Set the limits for the x axis | plt.ylim(ymin, ymax) | Set the limits for the y axis | plt.xscale("scale type") | Set scale for the x axis (ex. "log") | plt.yscale("scale type") | Set scale for the y axis (ex. "log") | plt.twinx() | Add a second y axis | plt.axis("off") | Do not show the axes | plt.gca().invert_ xaxis() | Invert the x axis | plt.gca().invert_ yaxis() | Invert the y axis |
| | Labeling functionsplt.title("title") | Add a title | plt.xlabel("x axis label") | Add a label to the x axis | plt.ylabel("y axis label") | Add a label to the y axis | plt.legend(loc = int) | Add a legend | plt.xticks(range(min, max, interval) | Modify the x axis tick marks |
Multiple plotsplt.plot(x_data1, y_data1)
plt.plot(x_data2, y_data2)
plt.plot(x_data3, y_data3)
plt.show() |
You can put multiple plots in one figure by defining each one before plt.show() or plt.savefig() Using colormaps# 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) |
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Great job! I'm just learning Python. Your cheat sheet is useful to me.
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