plotnine | A grammar of graphics for Python | Data Visualization library
kandi X-RAY | plotnine Summary
kandi X-RAY | plotnine Summary
A grammar of graphics for Python
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Top functions reviewed by kandi - BETA
- Draw the chart
- Create a labels box
- Add ticks to the image
- Add a colorbar
- Render the chart
- Append a sc
- Returns a list of aesthetics that match the aesthetic
- Draw the arrow plot
- Compute arrow head path
- Space out the spacing of the figure
- Build the legend
- Generate a documentation for a geom
- Add data to kwargs
- Compute the layer for the given data
- Draws the figure
- Set the default aesthetics
- Create a stat from a geometry object
- Compute the statistics for each group
- Return a labeller function
- Compute the layout for the plot
- Create geom from a guide
- Set the default values
- Determines the dimensions of the data
- Generate documentation for scale
- Compute the layout
- Compute the data for the fit
plotnine Key Features
plotnine Examples and Code Snippets
Lines of Code : 10License : Strong Copyleft (CC BY-SA 4.0)
Copyfrom plotnine import ggplot, geom_point, aes, stat_smooth, facet_wrap, scale_color_discrete, labs
from plotnine.data import mtcars
(ggplot(mtcars, aes('wt', 'mpg', color='factor(gear)'))
+ geom_point()
+ stat_smooth(method='lm')
+ scal(
ggplot(df, aes(x = 'value_1', y = 'value_2', shape = 'Group',color='Method', fill='Method')) + # Add fill mapping
geom_point(size = 5, alpha = 0.75) +
scale_x_continuous(name = 'Value 1') +
scale_y_continuous(name = 'Value 2') +
scale_import matplotlib.pyplot as plt
# Bar's starting x-point
xPoint = [0, 850, 1100,1220, 1300, 1500]
# Values
Power = [850, 500, 150, 500, 400,1100]
Vapor = [750, 850, 300, 350, 200, 300]
# the width of the bars
width = [850,250,120,80,200import win32com.client as win32
xlApp = win32.Dispatch('Excel.Application')
wb = xlApp.Workbooks.Open(outputPath+'Chart Pack.xlsb')
pptApp = win32.Dispatch('PowerPoint.Application')
ppt = pptApp.Presentations.Open(template)
slide_num = (p9.ggplot(p1_1, p9.aes(x = 'Test'))
+ p9.geom_histogram(bins = 10, fill = "#f9d9d6", color = "#E34234")
+ p9.theme_classic()
+ p9.themes.theme(
axis_title_y = p9.themes.element_text(angle = 0, va = 'bottom', ha = 'right',
# Sample Data
MedComb = pd.DataFrame({
'Name' : ['Crop1', 'Crop1', 'Crop1', 'Crop1', 'Crop2', 'Crop2', 'Crop2', 'Crop2'],
'Type' : ['Area', 'Diesel', 'Fert', 'Pest', 'Area', 'Diesel', 'Fert', 'Pest'],
'GHG': [14.9, 0.0007, 0.import pandas as pd
import numpy as np
from plotnine import *
df = pd.DataFrame({
'time': [0, 15, 30],
'A': [np.nan, np.nan, 'A'],
'B': ['B', 'B', np.nan],
})
df = pd.melt(df, id_vars=['time'], value_vars=['A', 'B'])
df.dropnggplot(data=test_df, mapping=aes(x='reorder(catg, val)', y='val'))
from plotnine.data import mpg
desired_manufacturers = ['audi','ford','honda','hyundai']
mpg_select = mpg.loc[mpg['manufacturer'].isin(desired_manufacturers)]
mpg_select['manufacturer_subset'] = pd.Categorical(mpg_select['manufacturer'],
# original graph
p = (ggplot(df, aes(x='date', y='value', fill='variable'))
+ theme_light()
+ geom_col(position='dodge', alpha=0.8)
+ geom_hline(yintercept=mean_a, linetype='dotted', color='#770d50', size=1.5)
+ geom_hline(yinterceCommunity Discussions
Trending Discussions on plotnine
QUESTION
I'm using Python's plotnine package to plot some grouped data, similarly as one would do in R's ggplot2 package. So far, I'm grouping by color and shape. Now, I want to additionally plot filled vs. unfilled shapes/markers. Since plotnine's shapes are based on matplotlib's markers, I cannot find any matching pairs of markers, e.g., unfilled vs. filled squares, circles or triangles...
Here's my code incl. some example data and the current plot:
...ANSWER
Answered 2022-Apr-11 at 14:15There is a workround if you want to get unfilled markers for Methed 2. Just add a fill mapping and specify the fill color of Method 2 to be transparent (set alpha to zero by using RGBA string).
QUESTION
I have an assignment where I need to generate a graph similar like the image below in python. This chart consisted of 3 variables.
Working time [h] in X-axis.
Electric consumption[kW] and Gas [kg] in Y-axis STACKED
Is it possible to generate a chart similar like the below picture using matplotlib ,or with other libraries? (seaborn, altair, plotnine)
EDIT:
Is it possible to also generate a table below the graph, similar to the table below?
...ANSWER
Answered 2022-Mar-03 at 23:55In the end, I solved my own question while creating this question :) . Although this answer still cannot generate a table below the graph.
But here you go, I hope it can help someone who also have a similar problem.
QUESTION
I have an excel file with a series of formatted charts on a tab called Charts. I have named the charts, Figure1, Figure2, Figure3, etc.
I have an existing PowerPoint template. The template has 2 placeholders per slide (so that it can accommodate 2 charts per slide).
I would like to paste Figure1 in the left placeholder of slide 3, and Figure2 in the right placeholder of slide 3. I want to do this in python as the data analysis is done in python and excel is used to share stored results with colleagues.
Attempt 1:
Attempt 1 uses win32com.client. I am following this example: How to copy chart from excel and paste it as chart into powerpoint (not image) using python
but I cannot get the syntax right to insert the chart into the placeholder. When I follow the syntax in the solution, nothing happens and I get a message
>
Current code:
...ANSWER
Answered 2022-Feb-12 at 02:55You're very close! Copy and Paste are methods, so to call them you need to add brackets after them, e.g. Copy().
To get slide 2, you need to use the Item method of the Slides class: ppt.Slides.Item(2)
QUESTION
I'm trying to move the x and y axis labels to be near each other at the bottom left of the chart.
This is easy enough in R's ggplot2 with:
...ANSWER
Answered 2022-Feb-05 at 21:34Following this comment on related GitHub issue with respect to plot_title you could shift the positions by setting the x and the y positions of the axis titles. For your desired result I think y=.1 and x=.125 work fine:
QUESTION
My dataframe MedComp has the following structure:
I now want to do a stacked bar plot, one for each Name (there are two different ones), stacking by Type (currently done using color). The y-axis are the remaining columns with a separate plot per column due to very different ranges. For one of the Crops in Name I would also like to show an error bar for the total, currently calculated in a separate dataframe called FarmQuant, shown here:
Up to now, I only managed using a loop, thus creating one figure per column:
...ANSWER
Answered 2021-Dec-28 at 01:43Plotnine works best when your geom aesthetics are in their own column so you can acheive the faceting by melting your dataframe to do that. Also, if you join the Farm_Quant dataframe to your melted MedComb dataframe then you can just reference that single dataframe and remove your for loop.
QUESTION
I am trying to use plotnine in python and couldn't do fct_reorder of r in python. Basically I would like to plot categories from the categorical variable to arrange on x axis based on the increasing value from another variable but I am unable to do so.
ANSWER
Answered 2021-Dec-07 at 21:00Plotnine does have reorder. It is an internal function available when creating and aesthetic mapping, just like factor.
In your example you could use it like this:
QUESTION
In Plotnine, is it possible to hide certain legend elements?
...ANSWER
Answered 2021-Dec-04 at 02:22It's because the manufacturer column is categorical and it still has all those categories. You can remove the categories from the column and the extra values will remove from the legend.
QUESTION
ANSWER
Answered 2021-Dec-04 at 02:08As described here you can get the matplotlib figure using the draw method of the ggplot object. Then you can use the axes and traditional matplotlib functions to draw the desired annotations using either the ax.text or the ax.annotate functions as shown below. You'll probably need to play around with the actual x locations for the text.
QUESTION
Consider the following plotnine plot. How do I remove the pseudo boxes around the lines in the the legend (circled in the screenshot). These pseudo boxes don't appear in ggplot.
I have looked at all the options in theme, but none do the trick... https://plotnine.readthedocs.io/en/stable/generated/plotnine.themes.theme.html
...ANSWER
Answered 2021-Nov-16 at 21:05One option to achieve your desired result would be to set the color of the legend key to "white" or more generally the background color via `legend_key=element_rect(color = "white"):
QUESTION
ANSWER
Answered 2021-Oct-19 at 09:58Scaling in the example above did not work due to the data types used.
As long on the y-axis timedelta64[ns] is used scaling did not work.
After the following conversion:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install plotnine
You can use plotnine like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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