- #125 Lineplot and small multiple
- #125 Lineplot & small multiple
Let’s say you want to realise a line chart with several lines, one for each group of your dataset. Adding all of them on the same plot can quickly lead to a spaghetti plot, and thus provide a chart that is hard to read and gives few insight about the data.
Several ways exist to avoid it, and one of them consists to use small multiple: here we cut the window in several subplots, one per group. Then, you can choose to display discreetly every groups, or not showing them at all. Note that you can easily do the same with area chart.
Left graph
# libraries and data import matplotlib.pyplot as plt import numpy as np import pandas as pd # Make a data frame df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14), 'y9': np.random.randn(10)+range(4,14) }) # Initialize the figure plt.style.use('seaborn-darkgrid') # create a color palette palette = plt.get_cmap('Set1') # multiple line plot num=0 for column in df.drop('x', axis=1): num+=1 # Find the right spot on the plot plt.subplot(3,3, num) # Plot the lineplot plt.plot(df['x'], df[column], marker='', color=palette(num), linewidth=1.9, alpha=0.9, label=column) # Same limits for everybody! plt.xlim(0,10) plt.ylim(-2,22) # Not ticks everywhere if num in range(7) : plt.tick_params(labelbottom='off') if num not in [1,4,7] : plt.tick_params(labelleft='off') # Add title plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) ) # general title plt.suptitle("How the 9 students improved\nthese past few days?", fontsize=13, fontweight=0, color='black', style='italic', y=1.02) # Axis title plt.text(0.5, 0.02, 'Time', ha='center', va='center') plt.text(0.06, 0.5, 'Note', ha='center', va='center', rotation='vertical')
Right graph
# libraries and data import matplotlib.pyplot as plt import numpy as np import pandas as pd # Make a data frame df=pd.DataFrame({'x': range(1,11), 'y1': np.random.randn(10), 'y2': np.random.randn(10)+range(1,11), 'y3': np.random.randn(10)+range(11,21), 'y4': np.random.randn(10)+range(6,16), 'y5': np.random.randn(10)+range(4,14)+(0,0,0,0,0,0,0,-3,-8,-6), 'y6': np.random.randn(10)+range(2,12), 'y7': np.random.randn(10)+range(5,15), 'y8': np.random.randn(10)+range(4,14), 'y9': np.random.randn(10)+range(4,14) }) # Initialize the figure plt.style.use('seaborn-darkgrid') # create a color palette palette = plt.get_cmap('Set1') # multiple line plot num=0 for column in df.drop('x', axis=1): num+=1 # Find the right spot on the plot plt.subplot(3,3, num) # plot every groups, but discreet for v in df.drop('x', axis=1): plt.plot(df['x'], df[v], marker='', color='grey', linewidth=0.6, alpha=0.3) # Plot the lineplot plt.plot(df['x'], df[column], marker='', color=palette(num), linewidth=2.4, alpha=0.9, label=column) # Same limits for everybody! plt.xlim(0,10) plt.ylim(-2,22) # Not ticks everywhere if num in range(7) : plt.tick_params(labelbottom='off') if num not in [1,4,7] : plt.tick_params(labelleft='off') # Add title plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) ) # general title plt.suptitle("How the 9 students improved\nthese past few days?", fontsize=13, fontweight=0, color='black', style='italic', y=1.02) # Axis title plt.text(0.5, 0.02, 'Time', ha='center', va='center') plt.text(0.06, 0.5, 'Note', ha='center', va='center', rotation='vertical')
Two problem in the scripts:
indentation
fig not defined
Hello, my axis title are stuck in the bottom left corner of Y9. Is there anyway to adjust them to the center?