WebbThe positions of the boxes. The ticks and limits are automatically set to match the positions. Defaults to range (1, N+1) where N is the number of boxes to be drawn. widthsfloat or array-like. The widths of the boxes. The default is 0.5, or 0.15* (distance between extreme positions), if that is smaller. Webb10 mars 2016 · In [72]: data.min (), data.max () Out [72]: (nan, nan) You can work around the problem by declaring the range of values yourself using np.nanmin and np.nanmax to find the minimum and maximum non-NaN …
How to deal with NaN values while plotting a boxplot using Python
Webb29 okt. 2024 · 1 Answer Sorted by: 3 Consider replacing all negative values with np.nan before plotting: df [df < 0] = np.nan fig, ax = plt.subplots (figsize= (10,4)) sns.boxplot (data=df, ax=ax) plt.show () plt.clf () plt.close () To demonstrate with random, seeded data. WebbControl the order of the boxes: sns.boxplot(data=df, x="fare", y="alive", order=["yes", "no"]) Draw a box for multiple numeric columns: sns.boxplot(data=df[ ["age", "fare"]], orient="h") Use a hue variable whithout changing the box width or position: sns.boxplot(data=df, x="fare", y="deck", hue="deck", dodge=False) felicity fabrics blog
Matplotlib Boxplot – A Helpful Illustrated Guide – Be on the Right …
Webb6 dec. 2024 · here there's a binning algorithm that has a nanHandling : None option ‘ignore’: In this case, NaNs contained in the input data are removed from the data prior binning. Note however, that x0, unless specified explicitly, will still refer to the first data point, whether or not this holds a NaN value. Webbimport pandas as pd import os import numpy as np import matplotlib.pyplot as plt plt.style.use('ggplot') #风格设置 import seaborn as sns sns.set_style('whitegrid') %matplotlib inline import warnings warnings.filterwarnings('ignore') plt.rcParams['font.sans-serif'] = ['SimHei'] # 指定默认字体 … http://www.iotword.com/5914.html felicity fabrics uk