seaborn pairplot 不适用于单个图
[英]seaborn pairplot not working for single graph
问题描述
I get this weird behavior where seaborn will plot diffrent graphs as expected but fails to show data in a single graph.
我得到了这种奇怪的行为，其中 seaborn 会按预期绘制不同的图表，但无法在单个图表中显示数据。
I am using anaconda3 and Visual Studio (same problem in jupyter).我正在使用 anaconda3 和 Visual Studio（在 jupyter 中存在同样的问题）。
seaborn is v0.11.0
matplotlib is v3.3.1
anaconda3 is v1.9.12
python is v3.8.3
MSC is v.1916 64 bit
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
sns.pairplot(x_vars=["tip"], y_vars=["size"],
data=tips)
sns.pairplot(tips)
plt.show()
the outputs look like this:输出如下所示：
output for sns.pairplot(x_vars=["tip"], y_vars=["size"],data=tips) sns.pairplot(x_vars=["tip"], y_vars=["size"],data=tips) 的输出
output for sns.pairplot(tips) sns.pairplot 的输出（提示）
It seems that the data is clearly there, but is somehow not plottet in the former statement.似乎数据显然存在，但在前面的陈述中不知何故不是 plottet。
edit: It seems to be a library version problem.编辑：这似乎是一个库版本问题。
these are may library versions:这些可能是库版本：
# Name Version Build Channel
attrs 20.2.0 py_0
backcall 0.2.0 py_0
blas 1.0 mkl
bzip2 1.0.8 he774522_0
ca-certificates 2020.7.22 0
certifi 2020.6.20 py38_0
cfitsio 3.470 he774522_6
click 7.1.2 py_0
click-plugins 1.1.1 py_0
cligj 0.5.0 py38_0
colorama 0.4.3 py_0
curl 7.67.0 h2a8f88b_0
cycler 0.10.0 py38_0
decorator 4.4.2 py_0
expat 2.2.9 h33f27b4_2
fiona 1.8.13.post1 py38hd760492_0
freetype 2.10.2 hd328e21_0
freexl 1.0.5 hfa6e2cd_0
gdal 3.0.2 py38hdf43c64_0
geopandas 0.8.1 py_0
geos 3.8.0 h33f27b4_0
geotiff 1.5.1 h5770a2b_1
hdf4 4.2.13 h712560f_2
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
intel-openmp 2020.2 254
ipykernel 5.3.4 py38h5ca1d4c_0
ipython 7.18.1 py38h5ca1d4c_0
ipython_genutils 0.2.0 py38_0
jedi 0.17.2 py38_0
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
jupyter_client 6.1.7 py_0
jupyter_core 4.6.3 py38_0
kealib 1.4.7 h07cbb95_6
kiwisolver 1.2.0 py38h74a9793_0
krb5 1.16.4 hc04afaa_0
libboost 1.67.0 hd9e427e_4
libcurl 7.67.0 h2a8f88b_0
libgdal 3.0.2 h1155b67_0
libiconv 1.15 h1df5818_7
libkml 1.3.0 he5f2a48_4
libnetcdf 4.6.1 h411e497_2
libpng 1.6.37 h2a8f88b_0
libpq 11.2 h3235a2c_0
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h33f27b4_0
libspatialite 4.3.0a h7ffb84d_0
libssh2 1.9.0 h7a1dbc1_1
libtiff 4.1.0 h56a325e_0
libxml2 2.9.10 h464c3ec_1
lz4-c 1.8.1.2 h2fa13f4_0
m2w64-expat 2.1.1 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gettext 0.19.7 2
m2w64-gmp 6.1.0 2
m2w64-libiconv 1.14 6
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-xz 5.2.2 2
matplotlib 3.3.1 0
matplotlib-base 3.3.1 py38hba9282a_0
mkl 2020.2 256
mkl-service 2.3.0 py38hb782905_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
msys2-conda-epoch 20160418 1
munch 2.5.0 py_0
numpy 1.19.1 py38h5510c5b_0
numpy-base 1.19.1 py38ha3acd2a_0
olefile 0.46 py_0
openjpeg 2.3.0 h5ec785f_1
openssl 1.1.1h he774522_0
pandas 1.1.1 py38ha925a31_0
parso 0.7.0 py_0
pcre 8.44 ha925a31_0
pickleshare 0.7.5 py38_1000
pillow 7.2.0 py38hcc1f983_0
pip 20.2.2 py38_0
postgresql 11.2 h3235a2c_0
proj 6.2.1 h9f7ef89_0
prompt-toolkit 3.0.7 py_0
pygments 2.7.1 py_0
pyparsing 2.4.7 py_0
pyproj 2.6.1.post1 py38hcfa1391_1
pyqt 5.9.2 py38ha925a31_4
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
pytz 2020.1 py_0
pywin32 227 py38he774522_1
pyzmq 19.0.2 py38ha925a31_1
qt 5.9.7 vc14h73c81de_0
rtree 0.9.4 py38h21ff451_1
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.0 py38h9439919_0
seaborn 0.11.0 py_0
setuptools 49.6.0 py38_1
shapely 1.7.1 py38h210f175_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 py_0
sqlite 3.33.0 h2a8f88b_0
tbb 2018.0.5 he980bc4_0
threadpoolctl 2.1.0 pyh5ca1d4c_0
tiledb 1.6.3 h7b000aa_0
tk 8.6.10 he774522_0
tornado 6.0.4 py38he774522_1
traitlets 5.0.4 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
wcwidth 0.2.5 py_0
wheel 0.35.1 py_0
wincertstore 0.2 py38_0
xerces-c 3.2.3 ha925a31_0
xz 5.2.5 h62dcd97_0
zeromq 4.3.2 ha925a31_3
zlib 1.2.11 h62dcd97_4
zstd 1.3.7 h508b16e_0
1 个解决方案
解决方案1
0 已采纳 2020-10-01 17:13:23
I think there is a bug in either matplotlib 3.3.1 or in seaborn 0.11.0 .我认为 matplotlib 3.3.1或 seaborn 0.11.0中存在0.11.0 。 I checked with the given environment and giving a blank graph with sns.pairplot(x_vars=["tip"], y_vars=["size"],data=tips) .我检查了给定的环境并给出了一个带有sns.pairplot(x_vars=["tip"], y_vars=["size"],data=tips)的空白图。
Solution : Change your matplotlib version to 3.2.1 and seaborn version to 0.10.1 .解决方案：将您的 matplotlib 版本更改为3.2.1 ，将 seaborn 版本更改为0.10.1 。 It worked for me with given versions.对于给定的版本，它对我有用。
If you are using yml file to create conda environment, use following content in .yml file.如果您使用 yml 文件创建 conda 环境，请使用.yml文件中的以下内容。
name: test
channels:
- conda-forge
- defaults
dependencies:
- python=3.8
- seaborn=0.10.1
- matplotlib=3.2.1
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