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dataframe plot conditional formatting

Fierce Falcon answered on December 12, 2021 Popularity 8/10 Helpfulness 1/10

answer dataframe plot conditional formatting

dataframe plot conditional formatting

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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt


# Simulate data
np.random.seed(1234)
df = pd.DataFrame(
    {'px_last': 100 + np.random.randn(1000).cumsum()},
    index=pd.date_range('2010-01-01', periods=1000, freq='B'),
)
df['50dma'] = df['px_last'].rolling(window=50, center=False).mean()
df['200dma'] = df['px_last'].rolling(window=200, center=False).mean()

## Apply labels
df['label'] = 'out of bounds'
df.loc[abs(df['50dma'] - df['200dma']) >= 7, 'label'] = '|50dma - 200dma| >= 7'
df.loc[abs(df['50dma'] - df['200dma']) < 7, 'label'] = '|50dma - 200dma| < 7'
df.loc[abs(df['50dma'] - df['200dma']) < 5, 'label'] = '|50dma - 200dma| < 5'
df.loc[abs(df['50dma'] - df['200dma']) < 3, 'label'] = '|50dma - 200dma| < 3'
df = df[df['label'] != 'out of bounds']

## Convert labels to colors
label2color = {
    '|50dma - 200dma| < 3': 'green',
    '|50dma - 200dma| < 5': 'yellow',
    '|50dma - 200dma| < 7': 'orange',
    '|50dma - 200dma| >= 7': 'red',
}
df['color'] = df['label'].apply(lambda label: label2color[label])

# Create plot
fig, ax = plt.subplots()

def gen_repeating(s):
    """Generator: groups repeated elements in an iterable
    E.g.
        'abbccc' -> [('a', 0, 0), ('b', 1, 2), ('c', 3, 5)]
    """
    i = 0
    while i < len(s):
        j = i
        while j < len(s) and s[j] == s[i]:
            j += 1
        yield (s[i], i, j-1)
        i = j

## Add px_last lines
for color, start, end in gen_repeating(df['color']):
    if start > 0: # make sure lines connect
        start -= 1
    idx = df.index[start:end+1]
    df.loc[idx, 'px_last'].plot(ax=ax, color=color, label='')

## Add 50dma and 200dma lines
df['50dma'].plot(ax=ax, color='k', ls='--', label='MA$_{50}$')
df['200dma'].plot(ax=ax, color='b', ls='--', label='MA$_{200}$')

## Get artists and labels for legend and chose which ones to display
handles, labels = ax.get_legend_handles_labels()

## Create custom artists
g_line = plt.Line2D((0,1),(0,0), color='green')
y_line = plt.Line2D((0,1),(0,0), color='yellow')
o_line = plt.Line2D((0,1),(0,0), color='orange')
r_line = plt.Line2D((0,1),(0,0), color='red')

## Create legend from custom artist/label lists
ax.legend(
    handles + [g_line, y_line, o_line, r_line],
    labels + [
        '|MA$_{50} - $MA$_{200}| < 3$',
        '|MA$_{50} - $MA$_{200}| < 5$',
        '|MA$_{50} - $MA$_{200}| < 7$',
        '|MA$_{50} - $MA$_{200}| \geq 7$',
    ],
    loc='best',
)

# Display plot
plt.show()

Popularity 8/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: conditional-formatting dataframe plot python

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Contributed on Dec 12 2021

Fierce Falcon

0 Answers Avg Quality 2/10

dataframe plot conditional formatting

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