Develop Reference

Candlestick on Tkinter

For the moment this code always opens the following candlestick chart on a google chrome page, however, I wanted to appear on a Tkinter.
I tried to use candlestick_ohlc for Tkinter (it works best on apparently Tkinter) but it does not give me the same appearance as this candlestick.
Is there any way that I can make this candlestick chart ( using go.candlestick) appear on Tkinter?
import yfinance as yf
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import matplotlib.pyplot as plt
data = yf.download(tickers='BTC-USD', period='1mo', interval='5m')
print(data.tail())
fig3 = make_subplots(specs=[[{"secondary_y": True}]])
fig3.add_trace(go.Candlestick(x=data.index,
open=data['Open'],
high=data['High'],
low=data['Low'],
close=data['Close'],
))
fig3.update_yaxes(range=[0,700000000],secondary_y=True)
fig3.update_yaxes(visible=False, secondary_y=True)
fig3.update_layout(xaxis_rangeslider_visible=False)
fig3.update_layout(title={'text':'BTC-USD', 'x':0.5},yaxis_title='Price',xaxis_title='Date-Time')
fig3.show()

Blank Bar Charts in Plotly

I have a df - Wards - that contains the number of different events that happen on each ward of a hospital. I just want a simple bar chart of the totals of these events. I have used plotly before - I am no means an expert (evidently!) but I can't figure out where I am going wrong! With the code below I am seeing anything with fig.show(). I added the fig.write_image command to test - this returns the correct graph - but I can't figure out why my fig.show() command doesn't work
import plotly.express as px
import matplotlib.pyplot as plt
fig = px.bar(Wards, x='Ward', y='Total_Tasks')
fig.write_image("fig1.png")
fig.show()

I tried to duplicate your code but of course I don't have the data, so I made some up and I also didn't know for sure what modules you are importing, so I used the help at:
https://plotly.com/python/getting-started/
but anyway, here is what I came up with
that seems to work.
import plotly.express as px
import matplotlib.pyplot as plt
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
plt.savefig('fig1.png',bbox_inches="tight",dpi=600)
fig.show()

ipywidgets interactive with plotly doesn't produce a plot

I'm using GoogleColab. I'm trying to use interactive widgets with python plotly.
A function for produce a simple plotly just works:
from ipywidgets import interactive
import plotly.express as px
def g(x,y):
fig = px.scatter(x=df[x], y=df[y])
fig.show()
g('a','b')
output
But when I try to involve interactive widgets, the output comes with the widgets but without the plot:
def g(x,y):
fig = px.scatter(x=df[x], y=df[y])
fig.show()
interactive_plot = interactive(g, x=columns, y=columns)
interactive_plot
interactive output
When I change the library back to matplotlib it works well, as in this question. However, I have to use plotly because of their 'hovering' feature, which is truly convenient.

Plots not showing in Jupyter notebook

I am trying to create a 2x2 plots for Anscombe data-set
Loading Data-set and separating each class in data-set
import seaborn as sns
import matplotlib.pyplot as plt
anscombe = sns.load_dataset('anscombe')
dataset_1 = anscombe[anscombe['dataset'] == 'I']
dataset_2 = anscombe[anscombe['dataset'] == 'II']
dataset_3 = anscombe[anscombe['dataset'] == 'III']
dataset_4 = anscombe[anscombe['dataset'] == 'IV']
Creating a figure and dividing into 4 parts
fig = plt.figure()
axes_1 = fig.add_subplot(2,2,1)
axes_2 = fig.add_subplot(2,2,2)
axes_3 = fig.add_subplot(2,2,3)
axes_4 = fig.add_subplot(2,2,4)
axes_1.plot(dataset_1['x'], dataset_1['y'], 'o')
axes_2.plot(dataset_2['x'], dataset_2['y'], 'o')
axes_3.plot(dataset_3['x'], dataset_3['y'], 'o')
axes_4.plot(dataset_4['x'], dataset_4['y'], 'o')
axes_1.set_title('dataset_1')
axes_2.set_title('dataset_2')
axes_3.set_title('dataset_3')
axes_4.set_title('dataset_4')
fig.suptitle('Anscombe Data')
fig.tight_layout()
The only output which i'm getting at each plot is
[<matplotlib.lines.Line2D at 0x24592c94bc8>]
What am I doing wrong?

If you are working with a Jupyter Notebook then you can add the following line to the top cell where you call all your imports. The following command will render your graph
%matplotlib inline

Add%matplotlib inline or use matplotlib.pyplot.ion()
after you imported matplotlib.
From plotting docs:
Starting with IPython 5.0 and matplotlib 2.0 you can avoid the use of
IPython’s specific magic and use
matplotlib.pyplot.ion()/matplotlib.pyplot.ioff() which have the
advantages of working outside of IPython as well.

I've tried all of the above, eventually I've found out there is a conflict between matplotlib and a library called dtale. When I removed the import dtale command and restarted the kernel all was working prefectly good.

%matplot plt
Executing this after plt.show() displayed the plots for me.
Found this here: How do I make matplotlib work in AWS EMR Jupyter notebook?

Idle and Pandas-Python

I am trying to launch this code that I have found from a IPython notebook
(I also add some code like :interactive(True)...)
And my problem is when I use "run module" with Idle it launches the "data.plot"
then it loads and nothing happens. The data.plot doesn't seem to work.
Thanks if you have any idea.
Note: Without "interactive(True)" a box show up with "Runtime error"
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import interactive
interactive(True)
# read data into a DataFrame
data = pd.read_csv('http://www-bcf.usc.edu/~gareth/ISL/Advertising.csv', index_col=0)
print(data.head())
# print the shape of the DataFrame
print data.shape
# visualize the relationship between the features and the response using scatterplots
fig, axs = plt.subplots(1, 3, sharey=True)
data.plot(kind='scatter', x='TV', y='Sales', ax=axs[0], figsize=(16, 8))
data.plot(kind='scatter', x='Radio', y='Sales', ax=axs[1])
data.plot(kind='scatter', x='Newspaper', y='Sales', ax=axs[2])

Try display(data.plot(PARAMS)). To import it try from IPython.core.display import display.
This worked for me in some iPython Notebooks.