data-visualization

问题 Similar to : https://altair-viz.github.io/gallery/bar_chart_with_highlighted_bar.html, is it possible to highlight a bar based on a specific date time value? I can't quite seem to make it work. import pandas as pd import altair as alt import datetime df = pd.DataFrame( { "year": [2019, 2019, 2019], "month": [1, 3, 7], "day": [1, 1, 1], "value": [5, 7, 9], } ) df["Mth"] = pd.to_datetime(dict(year=df["year"], month=df["month"], day=df["day"])) df.drop( ["year", "month", "day"], axis=1, inplace

问题 Similar to : https://altair-viz.github.io/gallery/bar_chart_with_highlighted_bar.html, is it possible to highlight a bar based on a specific date time value? I can't quite seem to make it work. import pandas as pd import altair as alt import datetime df = pd.DataFrame( { "year": [2019, 2019, 2019], "month": [1, 3, 7], "day": [1, 1, 1], "value": [5, 7, 9], } ) df["Mth"] = pd.to_datetime(dict(year=df["year"], month=df["month"], day=df["day"])) df.drop( ["year", "month", "day"], axis=1, inplace

问题 I am new to D3 and try to learn force layout. I want to change the link distance between nodes and maintain the origin shape. I find that after I change the distance of the links, the layout was changed. Figure one is the original layout, then I changed the link distance with code distance([150]) (at line 80) to make the nodes further, but the layout changes out of my expectation. I expected it the layout will grow up with keeping the shape as same as original, but the layout changes a lot. I

问题 I am trying to plot a heatmap using seaborn library. The plotting function looks like this: def plot_confusion_matrix(data, labels, **kwargs): """Visualize confusion matrix as a heat map.""" col_map = kwargs.get('color_palette', sns.light_palette('navy', n_colors=5, as_cmap=False)) sns.heatmap( vmin=0.0, vmax=1.0, data=data, cmap=col_map, xticklabels=labels, yticklabels=labels, linewidths=0.75, ) The histogram of the data , however, looks like this: Now the issue I am struggling with is that

问题 I'm looking to label the "flow" portion of Alluvial / Sankey chart on R. The stratums (columns) can easily be labelled, but not the flows connecting them. All my attempts on reading the documentations and experimenting were to no avail. In the sample below, "freq" is expected to be labelled on the flow connection part. library(ggplot2) library(ggalluvial) data(vaccinations) levels(vaccinations$response) <- rev(levels(vaccinations$response)) ggplot(vaccinations, aes(x = survey, stratum =

问题 I'm looking to label the "flow" portion of Alluvial / Sankey chart on R. The stratums (columns) can easily be labelled, but not the flows connecting them. All my attempts on reading the documentations and experimenting were to no avail. In the sample below, "freq" is expected to be labelled on the flow connection part. library(ggplot2) library(ggalluvial) data(vaccinations) levels(vaccinations$response) <- rev(levels(vaccinations$response)) ggplot(vaccinations, aes(x = survey, stratum =

问题 I am new to Google BigQuery. I need help with the query error: "Encountered " "WITH" "with "" at line 1, column 1. Was expecting: EOF" with t1 as ( select date(USEC_TO_TIMESTAMP(event_dim.timestamp_micros)) date, event_dim.name from [myfoody-1313:it_rawfish_myfoody_ANDROID.app_events_20160727] where event_dim.name='pv_detail' and event_dim.params.key='item_id' and event_dim.params.value.string_value='31' ) select date(d) as day, count(event_dim.name) from generate_series(current_date -

问题 I am creating a bokeh plot with a slider to refresh plot accordingly. There are 2 issues with the code posted. 1. The plot is not refreshed as per the slider. Please help in providing a fix for this issue. 2. Plot is not displayed with curdoc() when bokeh serve --show fn.ipynb is used I'm trying to visualise this CSV file. import pandas as pd import numpy as np from bokeh.models import ColumnDataSource, CategoricalColorMapper, HoverTool, Slider from bokeh.plotting import figure, curdoc from

问题 EDIT: I included observeEvent() in server.R as described in this video : https://www.youtube.com/watch?v=BzE1JmC0F6Q. It works partially. When I update A and B, the graph gets updated, but the columns C,D and E are giving wrong values and the number of rows keep growing. Any help is appreciated. I have 2 columns A and B. The user has the option to drag and drop values into A and B , and hence I am using rhandsontable (Source: https://jrowen.github.io/rhandsontable/) I have the code below for

问题 EDIT: I included observeEvent() in server.R as described in this video : https://www.youtube.com/watch?v=BzE1JmC0F6Q. It works partially. When I update A and B, the graph gets updated, but the columns C,D and E are giving wrong values and the number of rows keep growing. Any help is appreciated. I have 2 columns A and B. The user has the option to drag and drop values into A and B , and hence I am using rhandsontable (Source: https://jrowen.github.io/rhandsontable/) I have the code below for