matplotlib

问题 I have some data I would like to plot consisting of two columns, one being an amount count and the other column being the actually date recorded. When plotting this, since I have over 2000 dates, it makes more sense to not show every single date as a tick on the x -axis, otherwise it won't be readable. However, I am having a hard time making the dates show up on the x -axis with some kind of logic. I have tried using the in-built tick locators for matplotlib but it's not working somehow. Here

问题 I have a pandas dataframe with 2 columns "height" and "class, class is a column with 3 values 1,2 and 5. Now i want to make a histogram of the height data and color by class. plot19_s["vegetation height"].plot.hist(bins = 10) this is my histogram but now I want to see the different classes by a change in color in the histogram. 回答1: Since I'm not sure if the potential duplicate actually answers the question here, this is a way to produce a stacked histogram using numpy.histogram and

问题 I've data like the following x = [(1,0), (0, 1), (2, 1), (3, 1)] y = [1, 4, 8.5, 17.5] and I would like to plot in the following way But matplotlib considers x as a 2 column vector so the y data is plotted twice. Suggestions on how to generate a plot in the above-mentioned format will be really helpful. 回答1: You can also convert the tuples to strings and plot a categorical scatter: plt.scatter([str(i) for i in x], y) 回答2: You can use set_xticks and set_xticklabels methods of an Axes object x

问题 I have a pandas dataframe, and would like to compare two line plots or "spaghetti" plots. The 2nd plot has one column removed from the dataframe. However it gets a bit confusing when the colors rearrange between plots. An example, weekly sales of eight shops: (df.plot(figsize=(20,10),lw=2.5,linestyle='--') .legend(loc=2, prop={'size': 13})) I can see shop1 (blue) is drowning out the others. So I decide to remove shop1, and plot it again: # drop shop 1 df.drop('shop1',axis=1,inplace=True) #

问题 I have a very basic plot, for which I would like to add the ability to display values when mouse hovers over data points on the plot. The code I use to create my line graph is as follows: df_all['count'] = pd.to_numeric(df_all['count']) cumulative = df_all['count'].cumsum() cumulative.plot() plt.plot() print(plt.show()) Many thanks in advance 回答1: Further to the comment regarding Plotly, here is a very simple example of how to plot a graph, with hoverable trends. Example code: import random

问题 I've data like the following x = [(1,0), (0, 1), (2, 1), (3, 1)] y = [1, 4, 8.5, 17.5] and I would like to plot in the following way But matplotlib considers x as a 2 column vector so the y data is plotted twice. Suggestions on how to generate a plot in the above-mentioned format will be really helpful. 回答1: You can also convert the tuples to strings and plot a categorical scatter: plt.scatter([str(i) for i in x], y) 回答2: You can use set_xticks and set_xticklabels methods of an Axes object x

问题 In the last couple of weeks, I've been trying to make an application that can read EEG data from OpenBCI Cyton (@250Hz) and plot a graph in 'real-time'. What seems to work better here are threads. I applied the tips I found here 1 to communicate the thread with Tkinter, but the application still doesn't work (gives me the error RecursionError: maximum recursion depth exceeded while calling a Python object ). Maybe I'm doing something wrong because I'm trying to use multiple .py files? See

问题 In the last couple of weeks, I've been trying to make an application that can read EEG data from OpenBCI Cyton (@250Hz) and plot a graph in 'real-time'. What seems to work better here are threads. I applied the tips I found here 1 to communicate the thread with Tkinter, but the application still doesn't work (gives me the error RecursionError: maximum recursion depth exceeded while calling a Python object ). Maybe I'm doing something wrong because I'm trying to use multiple .py files? See

问题 I am trying to plot on top of scipy plot. Used [this solution] (Python: plot on top of scipy plot? (voronoi)) but still cannot get single plot. Can anyone help? Thanks in advance... Sample plots are the following and trying to overlap them: Voronoi Diagram and Scatter Plot vor = Voronoi( points ) voronoi_plot_2d(vor) import matplotlib.pyplot as plt import csv x = [] y = [] with open('Junctions.csv','r') as csvfile: plots = csv.reader(csvfile, delimiter=',') for row in plots: x.append((row[0])

问题 I can't seem to add any text, rotate axis, change the background color, etc with the new mplfinance. With the old mpl-finance, I just do fig, ax = plt.subplots() and edit the fig and ax however I want to like: fig.text(0.96, 1, 'some text', size=9, fontweight='bold',color='black', ha="right") or plt.legend( loc='upper left') Does anyone know how to do that with the new package? 回答1: To gain access to mplfinance's Figure and Axes objects, there are two ways: Method 1. Set returnfig=True when