It turns out that the computer in question that would display the bad plot had McAfee Antivirus installed on it and this caused the issue with scanning the .exe and delaying the output of data to matplotlib. Once we added the .exe and necessary programs into the “exclusion” list, we were able to get the … Read more
The issue for your goal is your range that you create with linspace. The default number of samples is 50 for this method and they are evenly reparted so depending on your width, 2 might not be in this range. Use the num argument (third position) to increase this value and it will look better … Read more
There are several ways to approach controlling a matplotlib plot using ipywidgets. Below I’ve created the output I think you’re looking for using each of the options. The methods are listed in what feels like the natural order of discovery, however, I would recommend trying them in this order: 4, 2, 1, 3 Approach 1 … Read more
It is much easier if you split Year/month columns to separate series for each year import pandas as pd import matplotlib.pyplot as plt fig, axes = plt.subplots(figsize=(6,4)) df = pd.read_csv(“data.csv”) df2 = pd.pivot_table(df, index=”Month”, columns=[“Year”]) df2 = df2.reindex([‘January’, ‘February’, ‘March’, ‘April’, ‘May’, ‘July’, ‘August’, ‘September’, ‘October’, ‘November’, ‘December’]) df2.plot(ax=axes) fig.savefig(“plot.png”)
Matplotlib Graph Data
Ways to resolve an ‘invalid value encountered’ in matplotlib surface plot of sin(x)/x?
You can create a big subplot that covers the two subplots and then set the common labels. import random import matplotlib.pyplot as plt x = range(1, 101) y1 = [random.randint(1, 100) for _ in range(len(x))] y2 = [random.randint(1, 100) for _ in range(len(x))] fig = plt.figure() ax = fig.add_subplot(111) # The big subplot ax1 = … Read more
You need to use color instead of facecolor. You can also specify color as a list instead of a scalar value. So for your example, you could have color=[‘r’,’b’,’b’,’b’,’b’] For example, import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) N = 5 ind = np.arange(N) width = 0.5 vals … Read more
There is an issue with pandas datetimes and matplotlib coming from the recent release of pandas 0.21, which does not register its converters any more at import. Once you use those converters once (within pandas) they’ll be registered and automatically used by matplotlib as well. A workaround would be to register them manually, import pandas.plotting._converter … Read more
You can use the matplotlib.patches API. For instance, to get the first line: sns.distplot(x).get_lines()[0].get_data() This returns two numpy arrays containing the x and y values for the line. For the bars, information is stored in: sns.distplot(x).patches You can access the bar’s height via the function patches.get_height(): [h.get_height() for h in sns.distplot(x).patches]