plotly

问题 I have the following code which plots a bar chart (1 series), but I need the bars to be coloured blue if the 'Net' value is positive, and red if its negative: import pandas as pd import plotly.graph_objects as go df = pd.DataFrame({ 'Net':[15,20,-10,-15], 'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020'] }) df['Date'] = pd.to_datetime(df['Date']) fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])]) fig.update_layout(barmode='stack') fig.show() 回答1: You can check

问题 I have the following code which plots a bar chart (1 series), but I need the bars to be coloured blue if the 'Net' value is positive, and red if its negative: import pandas as pd import plotly.graph_objects as go df = pd.DataFrame({ 'Net':[15,20,-10,-15], 'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020'] }) df['Date'] = pd.to_datetime(df['Date']) fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])]) fig.update_layout(barmode='stack') fig.show() 回答1: You can check

问题 I have the following code which plots a bar chart (1 series), but I need the bars to be coloured blue if the 'Net' value is positive, and red if its negative: import pandas as pd import plotly.graph_objects as go df = pd.DataFrame({ 'Net':[15,20,-10,-15], 'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020'] }) df['Date'] = pd.to_datetime(df['Date']) fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])]) fig.update_layout(barmode='stack') fig.show() 回答1: You can check

问题 I have the following code which plots a bar chart (1 series), but I need the bars to be coloured blue if the 'Net' value is positive, and red if its negative: import pandas as pd import plotly.graph_objects as go df = pd.DataFrame({ 'Net':[15,20,-10,-15], 'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020'] }) df['Date'] = pd.to_datetime(df['Date']) fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])]) fig.update_layout(barmode='stack') fig.show() 回答1: You can check

问题 I have the following code which plots a bar chart (1 series), but I need the bars to be coloured blue if the 'Net' value is positive, and red if its negative: import pandas as pd import plotly.graph_objects as go df = pd.DataFrame({ 'Net':[15,20,-10,-15], 'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020'] }) df['Date'] = pd.to_datetime(df['Date']) fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])]) fig.update_layout(barmode='stack') fig.show() 回答1: You can check

问题 I am trying to plot timeseries data and would like the x axis to just be Month and Day. Plotly requires format to be yyyy-mm-dd , but I have daily averages from a data set over a few years, so I just want to plot mm-dd on the x axis. When I send a datetime that is just mm-dd it assumes the mm to be the year. Can I get it to bypass the year and only take mm-dd ? df_en_ave1.index = df_en_ave1.index.strftime('%m-%d') #convert my index to month and day datetime trace1=go.Scatter(x=df_en_ave1

问题 I want to embed Plotly graph in my own html file. Using Dash, I can generate the same graph into API local server. However for my own HTML file, I did not get any solution: My Dash solution: import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div(children=[ html.H1(children='Dash Tutorials'), dcc.Graph( id='example', figure={ 'data': [ {'x': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 'y': [9, 6, 2, 1, 5, 4, 6, 8, 1, 3], 'type': 'bar',

问题 I am trying to re-work some jupyter notebooks using plotly instead of matplotlib . My original function is def plot_power_spectrum(y): ps = np.abs(np.fft.fft(y - np.mean(y)))**2 time_step = 1.0/6 # hours freqs = np.fft.fftfreq(y.size, time_step) idx = np.argsort(freqs) plt.plot(freqs[idx], ps[idx]) plt.axvline(2*np.pi/168.0, color="magenta", alpha=0.4, lw=5) plt.axvline(-2*np.pi/168.0, color="magenta", alpha=0.4, lw=5) I can't see a simple way to add such vertical lines (or other markup) in

问题 Every graph that I make in plotly looks great up until the moment I save it, so the image looks kind of matte, if it makes sense, just really bad quality. Does anyone know how to save it in high quality? You can use this basic chart as an example. library(plotly) x <- c(1:100) random_y <- rnorm(100, mean = 0) data <- data.frame(x, random_y) p <- plot_ly(data, x = ~x, y = ~random_y, type = 'scatter', mode = 'lines') Thank you! 回答1: At least in Plotly v4.7.1+ you can export the graph as SVG

问题 I have simple table whin href link inside the text. But clicking on it doesn't open the page. is there any easy way to do that? import plotly.express as px df = px.data.gapminder().query("year == 2007") link_ref = '<a xlink:href="http://google.com" style="cursor: pointer" target="_blank" rel="noopener noreferrer">{}</a>' df['country'] = df['country'].apply(lambda item: link_ref.format(item, "{}")) fig = px.treemap(df, path=[ 'continent', 'country'], values='pop', color='lifeExp', hover_data=[