pip install clusterfun
, you can create the above plot locally, without any additional setup:import pandas as pd
import clusterfun as clt
df = pd.read_csv("https://raw.githubusercontent.com/gietema/clusterfun-data/main/mnist.csv")
clt.scatter(df, x="x", y="y", media="img_path", color="label")
import pandas as pd
import clusterfun as clt
df = pd.read_csv("https://raw.githubusercontent.com/gietema/clusterfun-data/main/mnist.csv")
clt.confusion_matrix(df, y_true="label", y_pred="pred", media="img_path")
import pandas as pd
import clusterfun as clt
df = pd.read_csv("https://raw.githubusercontent.com/gietema/clusterfun-data/main/mnist.csv")
clt.violin(df, y="mean_value", color="label", media="img_path")
Why clusterfun?
pandas
dataframe with an image/audio location per row. Data can be hosted locally or on AWS S3. No sign up, integration, or data transfer is needed.