matplotlib multiple bar plot
from matplotlib import pyplot as plt def bar_plot(ax, data, colors=None, total_width=0.8, single_width=1, legend=True): """Draws a bar plot with multiple bars per data point. Parameters ---------- ax : matplotlib.pyplot.axis The axis we want to draw our plot on. data: dictionary A dictionary containing the data we want to plot. Keys are the names of the data, the items is a list of the values. Example: data = { "x":[1,2,3], "y":[1,2,3], "z":[1,2,3], } colors : array-like, optional A list of colors which are used for the bars. If None, the colors will be the standard matplotlib color cyle. (default: None) total_width : float, optional, default: 0.8 The width of a bar group. 0.8 means that 80% of the x-axis is covered by bars and 20% will be spaces between the bars. single_width: float, optional, default: 1 The relative width of a single bar within a group. 1 means the bars will touch eachother within a group, values less than 1 will make these bars thinner. legend: bool, optional, default: True If this is set to true, a legend will be added to the axis. """ # Check if colors where provided, otherwhise use the default color cycle if colors is None: colors = plt.rcParams['axes.prop_cycle'].by_key()['color'] # Number of bars per group n_bars = len(data) # The width of a single bar bar_width = total_width / n_bars # List containing handles for the drawn bars, used for the legend bars = [] # Iterate over all data for i, (name, values) in enumerate(data.items()): # The offset in x direction of that bar x_offset = (i - n_bars / 2) * bar_width + bar_width / 2 # Draw a bar for every value of that type for x, y in enumerate(values): bar = ax.bar(x + x_offset, y, width=bar_width * single_width, color=colors[i % len(colors)]) # Add a handle to the last drawn bar, which we'll need for the legend bars.append(bar[0]) # Draw legend if we need if legend: ax.legend(bars, data.keys()) if __name__ == "__main__": # Usage example: data = { "a": [1, 2, 3, 2, 1], "b": [2, 3, 4, 3, 1], "c": [3, 2, 1, 4, 2], "d": [5, 9, 2, 1, 8], "e": [1, 3, 2, 2, 3], "f": [4, 3, 1, 1, 4], } fig, ax = plt.subplots() bar_plot(ax, data, total_width=.8, single_width=.9) plt.show()
Source: stackoverflow.com
Python matplotlib multiple bars
fig, ax = plt.subplots() data = {"Foo": [1, 2, 3, 4], "Zap": [0.1, 0.2], "Quack": [6], "Bar": [1.1, 2.2, 3.3, 4.4, 5.5]} bar_plot(ax, data, group_stretch=0.8, bar_stretch=0.95, legend=True, labels=True, label_fontsize=8, barlabel_offset=0.05, bar_labeler=lambda k, i, s: str(round(s, 3))) fig.show()
Source: stackoverflow.com
Python matplotlib multiple bars
ax = plt.subplot(111) w = 0.3 ax.bar(x-w, y, width=w, color='b', align='center') ax.bar(x, z, width=w, color='g', align='center') ax.bar(x+w, k, width=w, color='r', align='center') ax.xaxis_date() ax.autoscale(tight=True) plt.show()
Source: stackoverflow.com