python pip install matplotlib
pip install matplotlib
python 2d graph
names = ['group_a', 'group_b', 'group_c'] values = [1, 10, 100] plt.figure(figsize=(9, 3)) plt.subplot(131) plt.bar(names, values) plt.subplot(132) plt.scatter(names, values) plt.subplot(133) plt.plot(names, values) plt.suptitle('Categorical Plotting') plt.show()
matplotlib
# importing matplotlib module from matplotlib import pyplot as plt # x-axis values x = [5, 2, 9, 4, 7] # Y-axis values y = [10, 5, 8, 4, 2] # Function to plot scatter plt.scatter(x, y) # function to show the plot plt.show()
matplotlib
# importing matplotlib module from matplotlib import pyplot as plt # Plotting to our canvas plt.plot([1,2,3],[4,5,1]) # Showing what we plotted plt.show()
matplotlib
import matplotlib matplotlib.__version__
matplotlib
import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Polygon # Fixing random state for reproducibility np.random.seed(19680801) # fake up some data spread = np.random.rand(50) * 100 center = np.ones(25) * 50 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 data = np.concatenate((spread, center, flier_high, flier_low)) fig, axs = plt.subplots(2, 3) # basic plot axs[0, 0].boxplot(data) axs[0, 0].set_title('basic plot') # notched plot axs[0, 1].boxplot(data, 1) axs[0, 1].set_title('notched plot') # change outlier point symbols axs[0, 2].boxplot(data, 0, 'gD') axs[0, 2].set_title('change outlier\npoint symbols') # don't show outlier points axs[1, 0].boxplot(data, 0, '') axs[1, 0].set_title("don't show\noutlier points") # horizontal boxes axs[1, 1].boxplot(data, 0, 'rs', 0) axs[1, 1].set_title('horizontal boxes') # change whisker length axs[1, 2].boxplot(data, 0, 'rs', 0, 0.75) axs[1, 2].set_title('change whisker length') fig.subplots_adjust(left=0.08, right=0.98, bottom=0.05, top=0.9, hspace=0.4, wspace=0.3) # fake up some more data spread = np.random.rand(50) * 100 center = np.ones(25) * 40 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 d2 = np.concatenate((spread, center, flier_high, flier_low)) # Making a 2-D array only works if all the columns are the # same length. If they are not, then use a list instead. # This is actually more efficient because boxplot converts # a 2-D array into a list of vectors internally anyway. data = [data, d2, d2[::2]] # Multiple box plots on one Axes fig, ax = plt.subplots() ax.boxplot(data) plt.show()
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