Need Assistance In Writing Conditional Statement to Achieve The Desired Results. Please Read Below

[bkanderso]

Any help with this is greatly appreciated.

I have a chart (Strip plot) I created using Python in Power BI. The markers (Stars) represent schools. The data points are values (Y-Axis) that range from -3.0 to 3.0. The data points are aligned on the X-Axis to the phase of training based on minimum and maximum thresholds. There are 6 phases (Maintenance, Basic, Intermediate, Advance, and the last phase ia a catch all (NA) for all schools that do not align to the other phases. I want to add a different color border around the markers that have a Rating with a value less than or equal to zero. If the schools have Ratings with values greater than zero then return the markers with a fill of Blue for West Coast schools and a fill of Gold for East Coast schools. Is there a way to add conditional formatting to a marker in Seaborn? Here is the code that have written so far. #

The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script:

# dataset = pandas.DataFrame(UnitType, UnitScore)

# dataset = dataset.drop_duplicates()

# Paste or type your script code here:

import matplotlib.pyplot as plt

import seaborn as sns

import pandas as pd

from matplotlib.pyplot import text

plt.figure(figsize=(45,22))

st=sns.stripplot(x='Phase', y='UnitScore', hue='UnitCoast', data=dataset, size=28, marker="*", edgecolor=('Blue'), linewidth=1, alpha=1, jitter=.0)

plt.yticks(fontsize=30) sns.set(font_scale=1.6)

plt.axhline(1, color="Green", linewidth=3)

matplotlib.pyplot.text(x=-.9, y=1, s='Deployment', fontsize=20)

plt.axhline(.4, color="Orange", linestyle='dashed', linewidth=3)

matplotlib.pyplot.text(x=-.9, y=.4, s='Min Target', fontsize=20)

plt.axhline(0, color="Red", label='Hard Deck', linewidth=3)

matplotlib.pyplot.text(x=-.9, y=0, s='Hard Deck', fontsize=20)

plt.xlabel('Phase', fontsize=30); plt.ylabel('UnitScore', fontsize=30); lt.tick_params(axis='both', which='major', labelsize=20)

x=dataset['Phase'].values

y=dataset['UnitScore'].values

z=dataset['Unit'].values

for ph, us, un in zip(x, y, z

plt.annotate(un, (ph,us), xytext=(10,2), textcoords="offset points") plt.show()

[v-yiruan-msft]

Hi @bkanderso ,

Please review the following links, hope they can help you.

Stripplot using Seaborn in Python

seaborn.set(style = 'whitegrid')
  
tips = seaborn.load_dataset("tips")
  
seaborn.stripplot(x="day", y="total_bill", hue="smoker",
                  data=tips, palette="Set1", size=20,
                  marker="s", alpha=0.2)
  
plt.show()

Conditional formatting of plotly scatterplot markers

trace = go.Scatter(
    x=df['x'],
    y=df['y'],
    mode='markers',
    marker=dict(
        size=42,
        # I want the color to be green if lower_limit ≤ y ≤ upper_limit
        # else red
        color=np.where(np.logical_and(df['lower_limit'] <= df['y'], df['y']  <= df['upper_limit']), 'green', 'red'),
    )
)

And you can provide some raw data in the field [UnitType] and [UnitScore] and your expected result with the screenshot, later we will check on it and give you a suitable solution. Thank you.

Best Regards

[bkanderso]

Rena

I appreciate you taking the time to look at this.

I tried your suggestion (code) and it still is not giving me what I need.  I am attaching the code with my attempt to get the desired results.  I believe I need to create a data frame for Unit and Rating and Unit Score of <= 0, and then insert the data frame into the strip plot code using an conditional statement. I do not know where or how to do this.  West coast units (markers) will be blue in color with blue border, East coast markers will be gold with blue border.  If a unit has a rating less than or equal to (<=) zero I want the border for those markers (units) to be red, else West coast units (markers) will be blue in color with blue border, East coast markers will be gold with blue border.  If a unit has a payband with a score less than or equal to (<=) zero I want the fill for those markers (units) to be a hatch pattern (++) with blue border, else West coast units (markers) will be blue in color with blue border, East coast markers will be gold with blue border.  My attempt to write the data frame and conditional statements is incorrect and I am hoping you can help me get this over the finish line.

Here is the code:

# dataset = pandas.DataFrame(Phase, UnitCoast, Unit, Payband, Rating, UnitScore)

# dataset = dataset.drop_duplicates()

# Paste or type your script code here:

#import libraries

import matplotlib.pyplot as plt

import seaborn as sns

import pandas as pd

from matplotlib.pyplot import text

df = pd.DataFrame(dataset, columns=["Unit", "Rating", 'UnitScore']

df_rating = np.where(df['Rating'])

plt.figure(figsize=(45,22))

st=sns.stripplot(x='Phase', y='UnitScore', hue='UnitCoast', data=dataset, size=28,

    if df_rating

        marker="*", edgecolor=('Red'),

    else

        edgecolor=('Blue'), linewidth=1, alpha=1, jitter=.0)

    )  

)

plt.yticks(fontsize=30)

sns.set(font_scale=1.6)

plt.axhline(1, color="Green", linewidth=3)

matplotlib.pyplot.text(x=-.9, y=1, s='Deployment', fontsize=20)

plt.axhline(.4, color="Orange", linestyle='dashed', linewidth=3)

matplotlib.pyplot.text(x=-.9, y=.4, s='Min Target', fontsize=20)

plt.axhline(0, color="Red", label='Hard Deck', linewidth=3)

matplotlib.pyplot.text(x=-.9, y=0, s='Hard Deck', fontsize=20)

plt.xlabel('Phase', fontsize=30);

plt.ylabel('UnitScore', fontsize=30);

plt.tick_params(axis='both', which='major', labelsize=20)

x=dataset['Phase'].values

y=dataset['UnitScore'].values

z=dataset['Unit'].values

for ph, us, un in zip(x, y, z😞

    plt.annotate(un, (ph,us), xytext=(10,2), textcoords="offset points")

plt.show()

Here is a screen shot of what I want the visual to show. The vertical dashed line is a page break, doesnt belong in the visual.

Here is a screenshot of the visual in Power BI without the conditional statement.