[“Text”]: (props, col) => {
const colName = col.colDefs[col.columnIndex]?.name;
if (colName === “vendor” || colName === “purchaser”) {
const rawValue = (props.value as string) || “”;
const vendors = rawValue
.split(“,”)
.map(v => v.trim())
.filter(v => v.length > 0);
if (vendors.length === 0) {
return null;
}
const firstVendor = vendors[0];
const remaining = vendors.slice(1);
const tooltipText = remaining.join(“, “);
return (
<div style={{ display: “flex”, alignItems: “center” }}>
{remaining.length > 0 ? (
<TooltipHost
content={tooltipText}
directionalHint={DirectionalHint.topLeftEdge}
>
<Tag>{firstVendor} +{remaining.length}</Tag>
</TooltipHost>
) : (
<Tag>{firstVendor}</Tag>
)}
</div>
);
}
return null;
},
import pyspark.sql.functions as F
spark = ... # initialization
df = spark.table("a").where(F.col("country") == "abc")
df_unique = df.distinct()
users_without_kids = df_unique.where(F.col("kid_count") == 0)
obser = Observation()
observed_df = users_without_kids.observe(observation, F.count(F.lit(1)).alias("row_count"))
observed_df.writeTo("b")
print(observation.get["row_count"])Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.