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Creating a table in python and printing to a PDF

I know some similar questions have been asked but none have been able to answer my question or maybe my python programming skills are not that great(they are not). Ultimately I'm trying to creating a table to look like the one below, all of the "Some values" will be filled with JSON data which I do know how to import but creating the table to then export it to a PDF using FPDF is what is stumping me. I've tried pretty table and wasn't able to achieve this I tried using html but really I dont know too much html to build a table from scratch like this. so if some one could help or point in the right direction it would be appreciated.

I would recommend the using both the Pandas Library and MatplotLib
Firstly, with Pandas you can load data in from a JSON, either from a JSON file or string with the read_json(..) function documented here.
Something like:
import pandas as pd
df = pd.read_json("/path/to/my/file.json")
There is plenty of functionality withing the pandas library to manipulate your dataframe (your table) however you need.
Once you're done, you can then use MatplotLib to generate your PDF without needing any HTML
This would then become something like
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
df = pd.read_json("/path/to/my/file.json")
# Manipulate your dataframe 'df' here as required.
# Now use Matplotlib to write to a PDF
# Lets create a figure first
fig, ax = plt.subplots(figsize=(20, 10))
ax.axis('off')
the_table = ax.table(
cellText=df.values,
colLabels=df.columns,
loc='center'
)
# Now lets create the PDF and write the table to it
pdf_pages = PdfPages("/path/to/new/table.pdf")
pdf_pages.savefig(fig)
pdf_pages.close()
Hope this helps.

Plotting a geopandas dataframe using plotly

I have a geopandas dataframe, which consists of the region name(District), the geometry column, and the amount column. My goal is to plot a choropleth map using the method mentioned below
https://plotly.com/python/choropleth-maps/#using-geopandas-data-frames
Here’s a snippet of my dataframe
I also checked that my columns were in the right format/type.
And here's the code I used to plot the map
fig = px.choropleth(merged,
geojson=merged.geometry,
locations=merged.index,
color="Amount")
fig.update_geos(fitbounds="locations", visible=False)
fig.show()
It produced the below figure
which is obviously not the right figure. For some reasons, it doesn't show the map, instead it shows a line and when I zoom in, I am able to see the map but it has lines running through it. Like this
Has anyone ran into a similar problem? If so how were you able to resolve it?
The Plotly version I am using is 4.7.0. I have tried upgrading to a most recent version but it still didn’t work.
Any help is greatly appreciated. Please find my code and the data on my github.

I'll give you the answer to #tgrandje's comment that solved the problem. Thanks to #Poopah and #tgrandje for the opportunity to raise the answer.
import pandas as pd
import plotly.express as px
import geopandas as gpd
import pyproj
# reading in the shapefile
fp = "./data/"
map_df = gpd.read_file(fp)
map_df.to_crs(pyproj.CRS.from_epsg(4326), inplace=True)
df = pd.read_csv("./data/loans_amount.csv")
# join the geodataframe with the cleaned up csv dataframe
merged = map_df.set_index('District').join(df.set_index('District'))
#merged = merged.reset_index()
merged.head()
fig = px.choropleth(merged, geojson=merged.geometry, locations=merged.index, color="Amount")
fig.update_geos(fitbounds="locations", visible=False)
fig.show()

Another possible source of the problem (when using Plotly graph_objects) is mentioned in this answer over at gis.stackexchange.com:
The locations argument has to point to a column that matches GeoJSON's 'id's.
The geojson argument expects a dictionary.
To solve your problem, you should: (i) point locations to the dataframe's index, and (ii) turn your GeoJSON string to a dictionary.
It's not exactly the answer to your question, but I thought my problem was the same as yours and this helped me. So I am including the answer here.

Pandas pyplot throwing error "no numeric data to plot" when the dataset clearly has correct data

So I have this very basic piece of code to just learn Box plots in matplotlib.pyplot , I am following a tutorial where it works perfectly well for the instructor but not me. Its literally the same code, I would like to know if this feature has been like changed or something. Dataset
import pandas
import matplotlib.pyplot as plt
# This is taken from CSV but its easily available on the web , epecially kaggle
url ="D:\PycharmProjects\ML\Datasets\pima-indians-diabetes-database\diabetes.csv"
names = ['preg','plas','pres','skin','test','mass','pedi','age','class']
data = pandas.read_csv(url,names = names)
# this is where the issue arises
data.plot(kind='box',subplots = 'True',layout=(3,3),sharex=False,sharey=False)
plt.show()

Before to plot, add this line to your code:
data = data.apply(pd.to_numeric)

Python Folium Choropleth plots

I am trying to plot a choropleth plot of the UK using geojson data file which I downloaded from here: https://data.gov.uk/dataset/regions-december-2016-full-extent-boundaries-in-england2
Below is an example of the json data:
{
"type":"FeatureCollection",
"features":[
{
"type":"Feature",
"properties":{"objectid":1,"rgn16cd":"E12000001","rgn16nm":"North East","bng_e":417313,"bng_n":600358,"long":-1.72889996,"lat":55.2970314,"st_areashape":8675727008.425964,"st_lengthshape":795456.8022925043},
"geometry":{
"type":"MultiPolygon",
"coordinates":[[[[-2.0301237629331097,55.80991509288915],[-2.030069429494278,55.80991420787532],[-2.0300215494803053,55.80992140589199],[-2.0300040593387223,55.80993039246682],
My csv file looks like this:
csv
I essentially just want to plot the Taxi column using folium.
The problem is the plot does not show anything. I used the following code.
import pandas as pd
import os
import json
# read in population data
df = pd.read_csv('map-data.csv')
import folium
from branca.utilities import split_six
state_geo = 'Regions_December_2016_Full_Extent_Boundaries_in_England.geojson'
m = folium.Map(location=[55, 4], zoom_start=5)
m.choropleth(
geo_data=state_geo,
data=df,
columns=['LA-Code', 'Taxi'],
key_on='feature.properties.rgn16cd',
fill_color='YlGn',
fill_opacity=0.7,
line_opacity=0.2,
legend_name='h',
highlight=True
)
m
I think the problem relates the key_on argument.
I can access the correct code in the json file using something like this:
geodata['features'][0]['properties']['rgn16cd']
which gives me back the correct LA code (E12000001) but it does not seem
to work in the above code. I also tried using features instead of feature in the key_on argument but that gives me an error
AttributeError: 'NoneType' object has no attribute 'get'
Does anyone have any ideas what the problem is? Thanks.

From the folium library's documentation on github:
To display it in a Jupyter notebook, simply ask for the object representation:
In : m
It is likely that the source of your issue is that you are not in a Jupiter notebook. Saving the map as a html file and opening it in a browser works fine, without changing the json file. Try the code below:
import pandas as pd
import folium
# read in population data
df = pd.read_csv('map-data.csv')
state_geo = 'Regions_December_2016.geojson'
m = folium.Map(location=[55, 4], zoom_start=5)
m.choropleth(
geo_data=state_geo,
data=df,
columns=['LA-Code', 'Taxi'],
key_on='feature.properties.rgn16cd',
fill_color='YlGn',
fill_opacity=0.7,
line_opacity=0.2,
legend_name='h',
highlight=True
)
m.save("my_map.html")
To open the map from the script, you can call your web-browser through subprocess.call or os.system, by adding those line at the end of your script:
import os
os.system("firefox my_map.html")

plotting using pandas in python

What i am trying to do is slightly basic, however i am very new to python, and am having trouble.
Goal: is to plot the yellow highlighted Row(which i have highlighted, however it will not be highlighted when i need to read the data) on the Y-Axis and plot the "Time" Column on the X-Axis.
Here is a photo of the Data, and then the code that i have tried along with its error.
Code
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')
#Reading CSV and converting it to a df(Data_Frame)
df1 = pd.read_csv('Test_Sheet_1.csv', skiprows = 8)
#Creating a list from df1 and labeling it 'Time'
Time = df1['Time']
print(Time)
#Reading CSV and converting it to a df(Data_Frame)
df2 = pd.read_csv('Test_Sheet_1.csv').T
#From here i need to know how to skip 4 lines.
#I need to skip 4 lines AFTER the transposition and then we can plot DID and
Time
DID = df2['Parameters']
print(DID)
Error
As you can see from the code, right now i am just trying to print the Data so that i can see it, and then i would like to put it onto a graph.
I think i need to use the 'skiplines' function after the transposition, so that python can know where to read the "column" labeled parameters(its only a column after the Transposition), However i do not know how to use the skip lines function after the transposition unless i transpose it to a new Excel Document, but this is not an option.
Any help is very much appreciated,
Thank you!
Update
This is the output I get when I add print(df2.columns.tolist())