seaborn

Annotated heatmap with multiple color schemes

由 六月ゝ 毕业季﹏ 提交于 2021-02-07 04:17:09
问题 I have the following dataframe and would like to differentiate the minor decimal differences in each "step" with a different color scheme in a heatmap. Sample data: Sample Step 2 Step 3 Step 4 Step 5 Step 6 Step 7 Step 8 A 64.847 54.821 20.897 39.733 23.257 74.942 75.945 B 64.885 54.767 20.828 39.613 23.093 74.963 75.928 C 65.036 54.772 20.939 39.835 23.283 74.944 75.871 D 64.869 54.740 21.039 39.889 23.322 74.925 75.894 E 64.911 54.730 20.858 39.608 23.101 74.956 75.930 F 64.838 54.749 20

Seaborn: Making barplot by group with asymmetrical custom error bars

由 北城以北 提交于 2021-02-07 04:01:51
问题 I have a Pandas dataframe that has a couple of group columns like below. gr1 grp2 variables lb m ub A A1 V1 1.00 1.50 2.5 A A2 V2 1.50 2.50 3.5 B A1 V1 3.50 14.50 30.5 B A2 V2 0.25 0.75 1.0 I am trying to get a separate sub-barplot for each variable in variables using FacetGrid . I am trying to build to the final plot that I need which looks like the below. This is what I have so far. g = sns.FacetGrid(df, col="variables", hue="grp1") g.map(sns.barplot, 'grp2', 'm', order=times) But

How to move legend to outside of a seaborn scatterplot?

由 删除回忆录丶 提交于 2021-02-07 01:35:05
问题 import matplotlib.pyplot as plt import seaborn as sns import pandas as pd sns.set(style="darkgrid") g = sns.scatterplot(x="Area", y="Rent/Sqft", hue="region", style="availability", data=df) When I run this I get the below plot. I want to move the legend outside of plot. I googled and tried the following g.legend(loc='right', bbox_to_anchor=(1.25, 0.5), ncol=1) plt.show() But I don't get any output. Moreover, I can't understand how the object plt is connected to my sns object I am using

How to move legend to outside of a seaborn scatterplot?

由 佐手、 提交于 2021-02-07 01:30:00
问题 import matplotlib.pyplot as plt import seaborn as sns import pandas as pd sns.set(style="darkgrid") g = sns.scatterplot(x="Area", y="Rent/Sqft", hue="region", style="availability", data=df) When I run this I get the below plot. I want to move the legend outside of plot. I googled and tried the following g.legend(loc='right', bbox_to_anchor=(1.25, 0.5), ncol=1) plt.show() But I don't get any output. Moreover, I can't understand how the object plt is connected to my sns object I am using

How to move legend to outside of a seaborn scatterplot?

由 泪湿孤枕 提交于 2021-02-07 01:27:03
问题 import matplotlib.pyplot as plt import seaborn as sns import pandas as pd sns.set(style="darkgrid") g = sns.scatterplot(x="Area", y="Rent/Sqft", hue="region", style="availability", data=df) When I run this I get the below plot. I want to move the legend outside of plot. I googled and tried the following g.legend(loc='right', bbox_to_anchor=(1.25, 0.5), ncol=1) plt.show() But I don't get any output. Moreover, I can't understand how the object plt is connected to my sns object I am using

How to move legend to outside of a seaborn scatterplot?

由 好久不见. 提交于 2021-02-07 01:26:51
问题 import matplotlib.pyplot as plt import seaborn as sns import pandas as pd sns.set(style="darkgrid") g = sns.scatterplot(x="Area", y="Rent/Sqft", hue="region", style="availability", data=df) When I run this I get the below plot. I want to move the legend outside of plot. I googled and tried the following g.legend(loc='right', bbox_to_anchor=(1.25, 0.5), ncol=1) plt.show() But I don't get any output. Moreover, I can't understand how the object plt is connected to my sns object I am using

双节棍「大师」鱼佬亲传武功秘籍：如何进行一场数据挖掘算法竞赛？

由 自作多情 提交于 2021-02-06 15:11:16
当我们掌握了一定的机器学习和数据挖掘基础理论后，参加一场数据算法竞赛可以接触真实的业务和数据，将理论知识过渡到工程应用，同时可以在竞赛过程中进行反复地思考，强化对理论知识的理解。 本次分享，我将以个人竞赛经历和圈内整体情况为背景和大家聊聊如何进行一场数据挖掘算法竞赛，以及赛前、赛中和赛后需要做哪些事情。最后还将进行一个案例分享，来看看我是如何进行一场比赛的。 注： 本文详细视频 晚7点 在阿里天池分享，链接可回看 https://tianchi.aliyun.com/course/live?liveId=41153 主题大纲 为什么要参加数据挖掘竞赛？能带来什么？ 参加竞赛需要哪些基础知识和技能？ 如何选择适合自己的竞赛？ 竞赛中的几个主要模块议 竞赛过程中最重要的事情 好的竞赛总结比竞赛过程更重要 案例分享（ 天池“全国城市计算AI挑战赛”） 为什么要参加数据挖掘竞赛？ 从理论知识到从理论知识到工程应用；真实数据，增加项目经验 求职加分，企业看重；企业办赛，人才选拔 奖金的激励（丰厚） 交友，学习，PK高手 参加竞赛需要的基础知识和技能？ 理论知识掌握：评价指标、数据分析、特征工程、常用模型 工具的掌握 语言的选择：Python 可视化工具：Matplotlib、Seaborn 数据处理工具：Pandas、NumPy 机器学习库：Sklearn、XGBoost、LightGBM

Python - Can't import Seaborn

由 ⅰ亾dé卋堺 提交于 2021-02-06 13:54:39
问题 I'm running iPhyton Notebooks and I'm trying to import the Seaborn package. When I try to import it from the Terminal, it loads up fine, but when I import it through iPython Notebooks, it give me the following error. I have even tried to re-install Seaborn using both Conda and Pip inside iPython notebooks and still it wont work. Any idea why? Thanks. ImportError Traceback (most recent call last) <ipython-input-1-417274a1ae6c> in <module>() 1 get_ipython().system(u'conda install seaborn') 2

Python - Can't import Seaborn

由 最后都变了- 提交于 2021-02-06 13:54:01
问题 I'm running iPhyton Notebooks and I'm trying to import the Seaborn package. When I try to import it from the Terminal, it loads up fine, but when I import it through iPython Notebooks, it give me the following error. I have even tried to re-install Seaborn using both Conda and Pip inside iPython notebooks and still it wont work. Any idea why? Thanks. ImportError Traceback (most recent call last) <ipython-input-1-417274a1ae6c> in <module>() 1 get_ipython().system(u'conda install seaborn') 2

How to get an open and scaling arrow head in matplotlib

由 强颜欢笑 提交于 2021-02-06 13:53:53
问题 In a Seaborn barplot, I want to annotate a column with an arrow. Now, while I see how this might seem a little discerning, I would really like that arrow to both have an open head (i.e., not a closed triangle as a head, but two open lines) and scale when I resize the figure. I have found two matplotlib ways of adding arrows (the arrow and annotate methods), but each one seems to lack one of these features. This code plots both side by side: import seaborn as sns sns.plt.subplot(121) ax = sns
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